Securing the U.S. Defense Information Infrastructure : A Proposed Approach
Language: English
Published by RAND Corporation, 1999
- Softcover
- Used

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Seller Inventory # 19181677
- Title
- Securing the U.S. Defense Information Infrastructure : A Proposed Approach
- Author
- Anderson, Robert H. (EDT)
- Publisher
- RAND Corporation
- Publication year
- 1999
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0833027131
- ISBN 13
- 9780833027139
"Synopsis" may belong to another edition of this title.
About the Author
Phillip Feldman (PhD, Electrical Engineering, University of Southern California) is a Senior Engineer at RAND. Research interests include performance and survivability of information systems, military use of commercial technology, circuit-switched and packet-switched networks, communications satellites, telecommunications and computer networks, throughput/delay analyses, communications link design and analysis, and electronic warfare.
Scott Andrew Gerwehr (PhD, International Relations, University of California Los Angeles; PhD Program RAND Graduate School of Policy Analysis, Santa Monica, CA) is a Political Scientist at RAND. Research interests include Deception/Counterdeception in the areas of Social & Cognitive Psychology, Biology & Animal Behavior, Organized Crime, Confidence Artists, Politics & International Relations, Military History, Terrorism, Insurgency, and Guerrilla Warfare.
RICHARD MESIC (M.S., D.A.G.S., Probability and Statistics, Michigan State University) is a RAND senior staff member, Defense Planning and Analysis Department.
Jeff Rothenberg (M.S., Computer Sciences, University of Wisconsin) is a Senior Computer Scientist at RAND. Research Interests include the impact of information technology on record-keeping and developing ways of ensuring the longevity of digital records and documents. The fundamental nature of modeling and developing a theory of modeling as a primary cognitive activity. Issues of data quality and techniques for evaluating and recording the quality of data. Using advanced modeling, AI and simulation for decision support, emphasizing end-user interaction and clarity of representation.
James Chiesa (M.S., Environmental Science , Indiana University; M.A., Zoology , Indiana University) is a Communications Analyst at RAND.
"About the title" may belong to another edition of this title.
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